Sangam: A Confluence of Knowledge Streams

Inventory management for drug discovery

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dc.contributor David Simchi-Levi and Stephen C. Graves.
dc.contributor Leaders for Manufacturing Program.
dc.contributor Sloan School of Manufacturing.
dc.contributor Leaders for Manufacturing Program at MIT
dc.contributor Massachusetts Institute of Technology. Engineering Systems Division
dc.contributor Sloan School of Management
dc.creator Sriram, Ranganath
dc.date 2008-12-11T18:41:31Z
dc.date 2008-12-11T18:41:31Z
dc.date 2008
dc.date 2008
dc.date.accessioned 2022-05-04T06:26:24Z
dc.date.available 2022-05-04T06:26:24Z
dc.identifier http://hdl.handle.net/1721.1/43863
dc.identifier 263165805
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/2931
dc.description Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; and, (M.B.A.) -- Massachusetts Institute of Technology, Sloan School of Management; in conjunction with the Leaders for Manufacturing Program at MIT, 2008.
dc.description Includes bibliographical references (p. 67-69).
dc.description This thesis documents a study carried out at the Novartis Institutes for BioMedical Research (NIBR) in Cambridge, MA. The study focused on the development of inventory management processes for laboratory consumables. The pharmaceutical R&D process is characterized by a dynamic project portfolio, which results in a great diversity of stock-keeping-units, low repeat order rates and high variability in consumption rates. These factors create significant challenges for the design of inventory management processes. We first present an assessment and diagnosis of the current state of inventory management at NIBR, using data gathered from various NIBR sites as well as other companies. We discuss underlying drivers that influence current behavior, and identify opportunities for improvement. We then develop alternative models for inventory management and compare these models along several dimensions such as stock room location & control, inventory ownership and replenishment options. We recommend the use of consolidated department level stock rooms as the most suitable option for NIBR. Detailed implementation plans are then developed and validated through a case study. We present key findings and recommendations for implementation, and discuss opportunities for future projects.
dc.description by Ranganath Sriram.
dc.description M.B.A.
dc.description S.M.
dc.format 69 p.
dc.format application/pdf
dc.language eng
dc.publisher Massachusetts Institute of Technology
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
dc.rights http://dspace.mit.edu/handle/1721.1/7582
dc.subject Engineering Systems Division.
dc.subject Sloan School of Manufacturing.
dc.subject Leaders for Manufacturing Program.
dc.title Inventory management for drug discovery
dc.type Thesis


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